Correlation Between Starbucks and Biglari Holdings
Can any of the company-specific risk be diversified away by investing in both Starbucks and Biglari Holdings at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Starbucks and Biglari Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Starbucks and Biglari Holdings, you can compare the effects of market volatilities on Starbucks and Biglari Holdings and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Starbucks with a short position of Biglari Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Starbucks and Biglari Holdings.
Diversification Opportunities for Starbucks and Biglari Holdings
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Starbucks and Biglari is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Starbucks and Biglari Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Biglari Holdings and Starbucks is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Starbucks are associated (or correlated) with Biglari Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Biglari Holdings has no effect on the direction of Starbucks i.e., Starbucks and Biglari Holdings go up and down completely randomly.
Pair Corralation between Starbucks and Biglari Holdings
Given the investment horizon of 90 days Starbucks is expected to generate 4.65 times less return on investment than Biglari Holdings. But when comparing it to its historical volatility, Starbucks is 1.02 times less risky than Biglari Holdings. It trades about 0.02 of its potential returns per unit of risk. Biglari Holdings is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 14,512 in Biglari Holdings on August 24, 2024 and sell it today you would earn a total of 6,338 from holding Biglari Holdings or generate 43.67% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Starbucks vs. Biglari Holdings
Performance |
| Timeline |
| Starbucks |
| Biglari Holdings |
Starbucks and Biglari Holdings Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Starbucks and Biglari Holdings
The main advantage of trading using opposite Starbucks and Biglari Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Starbucks position performs unexpectedly, Biglari Holdings can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Biglari Holdings will offset losses from the drop in Biglari Holdings' long position.| Starbucks vs. Chipotle Mexican Grill | Starbucks vs. Dominos Pizza | Starbucks vs. Yum Brands | Starbucks vs. The Wendys Co |
| Biglari Holdings vs. Cannae Holdings | Biglari Holdings vs. BJs Restaurants | Biglari Holdings vs. Ark Restaurants Corp | Biglari Holdings vs. Noble Romans |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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